Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Chaves, Deisy"'
The unevenness importance of criminal activities in the onion domains of the Tor Darknet and the different levels of their appeal to the end-user make them tangled to measure their influence. To this end, this paper presents a novel content-based ran
Externí odkaz:
http://arxiv.org/abs/1910.02332
Publikováno v:
In Computers in Industry April 2019 106:60-70
Publikováno v:
In Powder Technology October 2018 338:110-118
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Leveraging image-based age estimation in preventing Child Sexual Exploitation Material (CSEM) content over the internet is not investigated thoroughly in the research community. While deep learning methods are considered state-of-the-art for general
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16ea0656ea8587efad640e051aca96f4
https://doi.org/10.5220/0011719700003417
https://doi.org/10.5220/0011719700003417
Autor:
Al Nabki, Mohamed Wesam, Fidalgo Fernández, Eduardo, Alegre Gutiérrez, Enrique, Chaves, Deisy
[EN] The anonymity and high security of the Tor network allow it to host a significant amount of criminal activities. Some Tor domains attract more traffic than others, as they offer better products or services to their customers. Detecting the most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2010::b74289fb5869d1cf806ee5e0606d7289
https://hdl.handle.net/10612/16908
https://hdl.handle.net/10612/16908
Autor:
Jeuland, Elouan Derenee, Del Río Ferreras, Aitor, Chaves, Deisy, Fidalgo, Eduardo, González-Castro, Víctor, Alegre, Enrique
Publikováno v:
RUC. Repositorio da Universidade da Coruña
instname
instname
Age estimation is a valuable forensic tool for criminal investigators since it helps to identify minors or possible offenders in Child Sexual Exploitation Materials (CSEM). Nowadays, Deep Learning methods are considered state-of-the-art for general a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9ed5e973853ed760dceac06c178a684
https://zenodo.org/record/8129302
https://zenodo.org/record/8129302
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Velasco Mata, Javier, Chaves, Deisy, Mata, Verónica de, Al-Nabki, Mhd Wesam, Fidalgo, Eduardo, Alegre, Enrique, Azzopardi, George
Face detection techniques are valuable in the forensic investigation since they help criminal investigators to identify victims/offenders in child sexual exploitation material. Deep learning approaches proved successful in these tasks, but their high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1811::30a751faf22f974ba14db5e53a5e89d7
http://doi.org/10.18239/jornadas_2021.34.28
http://doi.org/10.18239/jornadas_2021.34.28
Autor:
Biswas, Rubel, Chaves, Deisy, Jáñez-Martino, Francisco, Blanco-Medina, Pablo, Fidalgo, Eduardo, García-Olalla, Carlos, Azzopardi, George
Several image-based approaches for estimating the age of a person are available in computer vision literature. However, most of them perform poorly on minors and young adults, especially when the eyes are occluded. This type of occlusion is common in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1811::84a3256dd02eef80dcebe6539b9961e4
http://hdl.handle.net/10578/28631
http://hdl.handle.net/10578/28631